Description Usage Arguments Value Author(s) References See Also Examples
Generates an object of class "CondTotalVarIC"
;
i.e., an influence curves eta of the form
eta = max(c(x), min(A x Lambda_f, b(x)))
with lower clipping function c, upper clipping function b and standardizing matrix A. Lambda_f stands for the L2 derivative of the corresponding error distribution.
1 2 3 4 5 6 7 8 9 | CondTotalVarIC(name, CallL2Fam = call("L2RegTypeFamily"),
Curve = EuclRandVarList(RealRandVariable(
Map = list(function(x) {x[1] * x[2]}),
Domain = EuclideanSpace(dimension = 2))),
Risks, Infos,
clipUp = RealRandVariable(Map = list(function(x) {Inf}), Domain = Reals()),
stand = as.matrix(1),
clipLo = RealRandVariable(Map = list(function(x) {-Inf}), Domain = Reals()),
lowerCase = NULL, neighborRadius = 0, neighborRadiusCurve = function(x){1})
|
name |
object of class |
CallL2Fam |
object of class |
Curve |
object of class |
Risks |
object of class |
Infos |
matrix of characters with two columns
named |
clipUp |
object of class |
clipLo |
object of class |
stand |
matrix: standardizing matrix. |
lowerCase |
optional constant for lower case solution. |
neighborRadius |
radius of the corresponding conditional total variation neighborhood. |
neighborRadiusCurve |
radius curve of the corresponding conditional total variation neighborhood. |
Object of class "CondTotalVarIC"
Matthias Kohl Matthias.Kohl@stamats.de
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
CondIC-class
, CondTotalVarIC-class
1 2 | IC1 <- CondTotalVarIC()
IC1
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.